Taylor-mode automatic differentiation for higher-order derivatives

Global glacier model using Universal Differential Equations for climate-glacier interactions

Turing + Makie = Turkie

Restricted Boltzmann Machines in Julia

Everything you've never dreamed about measuring on ecological networks.

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

A comprehensive suite of coherent noise algorithms and composable tools for manipulating them.

Integrated Assessment Modeling Framework

High-performance simulations of the Porous Electrode Theory for Li-ion batteries

Fast uncertainty quantification for scientific machine learning (SciML) and differential equations

An open-source framework written in Julia for global integrated assessment models.

Fast uncertainty quantification for scientific machine learning (SciML) and differential equations

Base functionality library for QuantumOptics.jl

A collection of tools for chemometrics and machine learning written in Julia.

Robot Motion Estimate: Tools, Variables, and Factors for SLAM in robotics; also see Caesar.jl.

A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)

Flexible and efficient persistent homology computation.

CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.

A package for discrete-time optimal stochastic control

Atomic graph models for molecules and crystals in Julia

Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions

Choo-choo

Conic Augmented Lagrangian Interior-Point SOlver

Automated Bayesian model discovery for time series data

Compositional data analysis in Julia

Use Optim to train Flux models and visualize loss landscapes

Nonlinear optical pulse propagator

A Julia package for creating publication-ready summary tables in HTML, docx, LaTeX and Typst

Economic modeling in Julia

Expectation operators for Distributions.jl objects

Financial derivatives modeling and pricing in Julia.

Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms

Robust and optimal design and analysis of linear control systems

A package with general tools for working with higher-dimensional tensor networks based on ITensor.

Discrete event generation and simulation in Julia

Differentiable trajectory optimization in Julia.

FMIFlux.jl is a free-to-use software library for the Julia programming language, which offers the ability to place FMUs (fmi-standard.org) everywhere inside of your ML topologies and still keep the resulting model trainable with a standard (or custom) FluxML training process.

Makie.jl recipes for visualization of Meshes.jl

Estimators for probabilities, entropies, and other complexity measures derived from data in the context of nonlinear dynamics and complex systems

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